Aneurysm wall enhancement, hemodynamics, and morphology of intracranial fusiform aneurysms

Intracranial fusiform aneurysms (IFAs) are considered to have a complex pathophysiology process and poor natural history. The purpose of this study was to investigate the pathophysiological mechanisms of IFAs based on the characteristics of aneurysm wall enhancement (AWE), hemodynamics, and morpholo...

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Published in:Frontiers in aging neuroscience 2023-03, Vol.15, p.1145542-1145542
Main Authors: Liang, Xinyu, Peng, Fei, Yao, Yunchu, Yang, Yuting, Liu, Aihua, Chen, Duanduan
Format: Article
Language:English
Subjects:
Aging Neuroscience
Aneurysm
aneurysm wall enhancement
Aneurysms
Boundary conditions
computational fluid dynamics
Computer applications
Correlation analysis
Flow velocity
Fluid dynamics
Hemodynamics
intracranial fusiform aneurysm
Magnetic resonance imaging
Morphology
Reynolds number
Shear stress
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Summary:Intracranial fusiform aneurysms (IFAs) are considered to have a complex pathophysiology process and poor natural history. The purpose of this study was to investigate the pathophysiological mechanisms of IFAs based on the characteristics of aneurysm wall enhancement (AWE), hemodynamics, and morphology. A total of 21 patients with 21 IFAs (seven fusiform types, seven dolichoectatic types, and seven transitional types) were included in this study. Morphological parameters of IFAs were measured from the vascular model, including the maximum diameter (D ), maximum length (L ), and centerline curvature and torsion of fusiform aneurysms. The three-dimensional (3D) distribution of AWE in IFAs was obtained based on high-resolution magnetic resonance imaging (HR-MRI). Hemodynamic parameters including time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), gradient oscillatory number (GON), and relative residence time (RRT) were extracted by computational fluid dynamics (CFD) analysis of the vascular model, and the relationship between these parameters and AWE was investigated. The results showed that D (  = 0.007), L (  = 0.022), enhancement area (  = 0.002), and proportion of enhancement area (  = 0.006) were significantly different among three IFA types, and the transitional type had the largest D , L , and enhancement area. Compared with the non-enhanced regions of IFAs, the enhanced regions had lower TAWSS but higher OSI, GON, and RRT (  
ISSN:1663-4365
1663-4365
DOI:10.3389/fnagi.2023.1145542